零样本分类论文趋势 2023–2026
零样本识别
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 992 篇被归入该主题的论文。
主要结论
- 零样本分类论文从 2023 年的 203 篇增长到 2026 年的 257 篇,三年间扩大到约 1.3 倍。
- CVPR 是发零样本分类论文最多的会议,2023–2026 年共 318 篇,占四个会议总量的 32%。
- 交叉方向里涨得最快的是强化学习:同时属于两个主题的论文从 2023 年的 7 篇增至 2026 年的 22 篇。
- 在「开放词汇视觉」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的视觉定位是 4.3 倍,零样本分类是 1.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 46 | 55 | 28 | 74 | 203 |
| 2024 | 82 | 45 | 51 | 84 | 262 |
| 2025 | 86 | 56 | 49 | 79 | 270 |
| 2026 | 68 | 44 | 64 | 81 | 257 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
- ICML 2026Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
- ICLR 2026Boomerang Distillation Enables Zero-Shot Model Size Interpolation
- CVPR 2026AG-VAS Anchor-Guided Zero-Shot Visual Anomaly Segmentation with Large Multimodal Models
- NeurIPS 2025\(\varepsilon\)-Optimally Solving Two-Player Zero-Sum POSGs
- ICML 2025A Classification View on Meta Learning Bandits
- ICLR 2025Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- CVPR 2025AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
- NeurIPS 2024BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
- ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
- ICLR 2024AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
- CVPR 2024Depth-aware Test-Time Training for Zero-shot Video Object Segmentation
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- ICML 2023A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
- ICLR 2023Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
- CVPR 2023(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
- NeurIPS 2026Align3D-AD: Cross-Modal Feature Alignment and Dual-Prompt Learning for Zero-shot 3D Anomaly Detection
- ICML 2026Calibrating Uncertainty for Zero-Shot Adversarial CLIP
- ICLR 2026Decoupling Primitive with Experts: Dynamic Feature Alignment for Compositional Zero-Shot Learning
- CVPR 2026DLVP-CLIP Enhancing Fine-Grained Zero-Shot Anomaly Detection via Dynamic Local Visual
全部零样本分类论文
共 282 篇,第 5 / 6 页
- NeurIPS 2024Masked Pre-training Enables Universal Zero-shot Denoiser
- NeurIPS 2024Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation
- NeurIPS 2024Model-Based Transfer Learning for Contextual Reinforcement Learning
- NeurIPS 2024Multiclass Transductive Online Learning
- NeurIPS 2024Neural Collapse To Multiple Centers For Imbalanced Data
- NeurIPS 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
- NeurIPS 2024Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks
- NeurIPS 2024Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli
- NeurIPS 2024Online Classification with Predictions
- NeurIPS 2024Optimal Classification under Performative Distribution Shift
- NeurIPS 2024OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
- NeurIPS 2024PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection
- NeurIPS 2024Pretrained Optimization Model for Zero-Shot Black Box Optimization
- NeurIPS 2024Recognize Any Regions
- NeurIPS 2024Robust Fine-tuning of Zero-shot Models via Variance Reduction
- NeurIPS 2024Segment Any Change
- NeurIPS 2024SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
- NeurIPS 2024Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning
- NeurIPS 2024Smoothed Online Classification can be Harder than Batch Classification
- NeurIPS 2024Soft-Label Integration for Robust Toxicity Classification
- NeurIPS 2024Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding
- NeurIPS 2024SpeAr: A Spectral Approach for Zero-Shot Node Classification
- NeurIPS 2024Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
- NeurIPS 2024SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
- NeurIPS 2024Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection
- NeurIPS 2024TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning
- NeurIPS 2024UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
- NeurIPS 2024Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain
- NeurIPS 2024Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
- NeurIPS 2024Zero-shot Image Editing with Reference Imitation
- NeurIPS 2024Zero-Shot Reinforcement Learning from Low Quality Data
- NeurIPS 2024Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly
- NeurIPS 2024Zero-Shot Tokenizer Transfer
- NeurIPS 2024Zero-Shot Transfer of Neural ODEs
- NeurIPS 2024Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering
- NeurIPS 2024ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
- NeurIPS 2023A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence
- NeurIPS 2023Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
- NeurIPS 2023ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition
- NeurIPS 2023Automated Classification of Model Errors on ImageNet
- NeurIPS 2023Black-box Backdoor Defense via Zero-shot Image Purification
- NeurIPS 2023Calibrating “Cheap Signals” in Peer Review without a Prior
- NeurIPS 2023ChatGPT-Powered Hierarchical Comparisons for Image Classification
- NeurIPS 2023CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection
- NeurIPS 2023Convex-Concave Zero-Sum Markov Stackelberg Games
- NeurIPS 2023CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
- NeurIPS 2023CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss
- NeurIPS 2023Easy Learning from Label Proportions
- NeurIPS 2023Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
- NeurIPS 2023Explore to Generalize in Zero-Shot RL
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查零样本分类在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "zero-shot-classification"}
常见问题
- 2023–2026 年四大会议一共有多少篇零样本分类论文?
- 共 992 篇,按年份分别是 2023 年 203 篇、2024 年 262 篇、2025 年 270 篇、2026 年 257 篇。
- NeurIPS 2026 有多少篇零样本分类论文?
- NeurIPS 2026 有 68 篇零样本分类论文,上一届是 86 篇。
- ICLR 2026 有多少篇零样本分类论文?
- ICLR 2026 有 44 篇零样本分类论文,上一届是 56 篇。
- ICML 2026 有多少篇零样本分类论文?
- ICML 2026 有 64 篇零样本分类论文,上一届是 49 篇。
- CVPR 2026 有多少篇零样本分类论文?
- CVPR 2026 有 81 篇零样本分类论文,上一届是 79 篇。
- 哪个会议的零样本分类论文最多?
- CVPR,2023–2026 年共 318 篇。